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[PDF][PDF] Effects of different environmental and operational factors on the PV performance: A comprehensive review
Conventional fossil fuel‐based power generation is one of the main contributors to global
environmental pollutions. The rapid depletion of fossil fuel reserves as well as their adverse …
environmental pollutions. The rapid depletion of fossil fuel reserves as well as their adverse …
Effect of various parameters on the performance of solar PV power plant: a review and the experimental study
One of the biggest causes of worldwide environmental pollution is conventional fossil fuel-
based electricity generation. The need for cleaner and more sustainable energy sources to …
based electricity generation. The need for cleaner and more sustainable energy sources to …
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Photovoltaic (PV) power generation is an effective means to realize solar energy utilization.
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Time-series analysis with smoothed Convolutional Neural Network
CNN originates from image processing and is not commonly known as a forecasting
technique in time-series analysis which depends on the quality of input data. One of the …
technique in time-series analysis which depends on the quality of input data. One of the …
Perspectives of photovoltaic energy market development in the european union
Photovoltaic (PV) energy has recently been gaining much attention worldwide. It is the least
expensive energy source which can be used to replace part of the energy from fossil fuels …
expensive energy source which can be used to replace part of the energy from fossil fuels …
Short-term wind speed prediction model based on GA-ANN improved by VMD
Wind power, as a potential new energy generation technology, is gradually develo**
towards to the mainstream energy in the world. However, the inherent random volatility of …
towards to the mainstream energy in the world. However, the inherent random volatility of …
[HTML][HTML] An hour-ahead PV power forecasting method based on an RNN-LSTM model for three different PV plants
Incorporating solar energy into a grid necessitates an accurate power production forecast for
photovoltaic (PV) facilities. In this research, output PV power was predicted at an hour ahead …
photovoltaic (PV) facilities. In this research, output PV power was predicted at an hour ahead …
An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation
With the expansion of grid-connected solar power generation, the variability of photovoltaic
power generation has become increasingly pronounced. Accurate photovoltaic output …
power generation has become increasingly pronounced. Accurate photovoltaic output …
Tutorial on time series prediction using 1D-CNN and BiLSTM: A case example of peak electricity demand and system marginal price prediction
Although research on time series prediction based on deep learning is being actively carried
out in various industries, deep learning technology still has a high entry barrier for …
out in various industries, deep learning technology still has a high entry barrier for …
[HTML][HTML] Short-term forecasting of photovoltaic solar power production using variational auto-encoder driven deep learning approach
The accurate modeling and forecasting of the power output of photovoltaic (PV) systems are
critical to efficiently managing their integration in smart grids, delivery, and storage. This …
critical to efficiently managing their integration in smart grids, delivery, and storage. This …